Introduction to Operations Research, Volume 1CD-ROM contains: Student version of MPL Modeling System and its solver CPLEX -- MPL tutorial -- Examples from the text modeled in MPL -- Examples from the text modeled in LINGO/LINDO -- Tutorial software -- Excel add-ins: TreePlan, SensIt, RiskSim, and Premium Solver -- Excel spreadsheet formulations and templates. |
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Page 36
... determine which inter- pretation best conforms to the intention of the Convention , then resort must be had to a strict grammatical construction of the language to determine its effect . Section 32 , Article IV . of Constitution ...
... determine which inter- pretation best conforms to the intention of the Convention , then resort must be had to a strict grammatical construction of the language to determine its effect . Section 32 , Article IV . of Constitution ...
Page 119
... determine the relationship between vehicle defects and failures in vehicle crashes , and to determine the extent to which subsystems failures are degraded or degraded systems cause or contribute to crashes the police consultants were ...
... determine the relationship between vehicle defects and failures in vehicle crashes , and to determine the extent to which subsystems failures are degraded or degraded systems cause or contribute to crashes the police consultants were ...
Page 94
... determining why the shielding calcula- tion does not produce useful results for 60 waveguide modes when the screen ... determine if the increase in thickness caused the square matrix in the matrix equation to become badly conditioned ...
... determining why the shielding calcula- tion does not produce useful results for 60 waveguide modes when the screen ... determine if the increase in thickness caused the square matrix in the matrix equation to become badly conditioned ...
Other editions - View all
Introduction to Operations Research Frederick S. Hillier,Gerald J. Lieberman No preview available - 2001 |
Common terms and phrases
activity algebraic algorithm allowable range artificial variables b₂ basic solution c₁ c₂ changes coefficients column Consider the following cost CPF solution CPLEX decision variables described dual problem dynamic programming entering basic variable example feasible region feasible solutions final simplex tableau final tableau following problem formulation functional constraints Gaussian elimination given goal goal programming graphical identify increase initial BF solution integer interior-point iteration leaving basic variable linear programming model linear programming problem LINGO LP relaxation lution Maximize Z maximum flow problem Minimize needed node nonbasic variables nonnegativity constraints objective function obtained optimal solution optimality test parameters path plant presented in Sec primal problem Prob procedure range to stay right-hand sides sensitivity analysis shadow prices shown simplex method slack variables solve the model Solver spreadsheet step subproblem surplus variables Table tion values weeks Wyndor Glass x₁ zero